Instructions to use Ocean3/NuElement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ocean3/NuElement with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ocean3/NuElement", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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<br>I've found a lot of samplers work great being fairly similar across the board with this version. Have fun and try some common and uncommon configurations.
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**VAE**
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<br>Use whichever
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<br>Models containing baked-in VAE are listed as **-bv** or **-bakedVAE** making the use of a VAE file redundant.
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**kl-f8-anime2**, **vae-ft-mse-840000-ema**, and [ClearVAE_V2.3](https://civitai.com/models/22354/clearvae) can also be good options.
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<br>I've found a lot of samplers work great being fairly similar across the board with this version. Have fun and try some common and uncommon configurations.
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**VAE**
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<br>Use whichever VAE you find best. Included is a renamed **vae-ft-ema-560000-ema vae** (SuperMixA.vae).
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<br>Models containing baked-in VAE are listed as **-bv** or **-bakedVAE** making the use of a VAE file redundant.
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**kl-f8-anime2**, **vae-ft-mse-840000-ema**, and [ClearVAE_V2.3](https://civitai.com/models/22354/clearvae) can also be good options.
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